Network Systems Science and Advanced Computing

Srinivasan Venkatramanan

  • Research Scientist
Srini headshot
Bio

Bio

Srinivasan (Srini) Venkatramanan is a research scientist at the Network Systems Science and Advanced Computing division. Prior to joining University of Virginia in 2018, Venkatramanan did his postdoctoral research at the Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute of Virginia Tech (2015-2017), where he also worked as a Computational Health Data Scientist (2017-2018). He received his Ph.D. in Electrical Engineering from the Indian Institute of Science in 2014 for his dissertation titled "Influence Dynamics on Social Networks". Venkatramanan’s research areas include stochastic modeling, diffusion dynamics, optimal control and network science. At the Biocomplexity Institute, he is responsible for developing, analyzing and optimizing computational models for complex systems arising in the domains of epidemiology and food security.

  • Infectious disease modeling, model calibration and forecasting, Resource allocation optimization. Data synthesis, simulation analytics, network-based causal inference, and game theory

  • Indian Institute of Science, Bangalore, ECE, Ph.D., 2014
    College of Engineering Guindy, Chennai, ECE, B.E., 2008

Selected Publications
Network Systems Science and Advanced Computing
Wu Y; Venkatramanan S; Chiu DM . IEEE Transactions on Emerging Topics in Computing. 2018;
Network Systems Science and Advanced Computing
Venkatramanan S; Lewis B; Chen J; Higdon D; Kumar VSA; Marathe M . Epidemics - Special Issue on Ebola Challenge. 2018; 22:43-49
Network Systems Science and Advanced Computing
Tabataba F; Chakraborty P; Ramakrishnan N; Venkatramanan S; Chen J; Lewis B; Marathe M . BMC Infectious Diseases. 2017; 17:345
Network Systems Science and Advanced Computing
Venkatramanan S; Chen J; Gupta S; Lewis B; Marathe M; Mortveit H; Kumar VSA . IEEE International Conference on Healthcare Informatics (ICHI). 2017;
Network Systems Science and Advanced Computing
Venkatramanan S; Wu S; Shi B; Marathe A; Marathe M; Eubank S; Sridhar V . 2017 IEEE International Conference on Big Data (Big Data). 2017; :435-444
Network Systems Science and Advanced Computing
Adiga A; Venkat S; Vullikanti A . IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications. 2016; :1-9
Network Systems Science and Advanced Computing
Venkatramanan S; Kumar A . IEEE Transactions on Mobile Computing. 2014; 13(11):2498-2509
In the News
Biocomplexity Institute News

On January 29, during a virtual ceremony over Zoom, the University of Virginia honored and recognized faculty members for their outstanding contributions to their fields and the impact of their research and scholarly activities at the annual Research Achievement Awards.

UVAToday (black)
COVID-19

The 2019 Novel Coronavirus (COVID-19), which originated in Wuhan, China, in late 2019, has received significant global attention due to the rapid speed and widespread reach of the outbreak. As of early March 2020, COVID-19 has exceeded 92,000 confirmed cases in 76 countries within a span of two months. In response to this global pandemic, researchers from the University of Virginia’s Biocomplexity Institute have developed a series of visualization and analytical web applications to provide a greater understanding of the pandemic’s scope, and to help officials, healthcare systems, and policy makers worldwide, control and ultimately stop the outbreak. 

Venkatramanan